The Volume Radius Function: A new descriptor for the segmentation of volumetric medical images

@article{Selmi2015TheVR,
  title={The Volume Radius Function: A new descriptor for the segmentation of volumetric medical images},
  author={Ghassen Selmi and Z. B. Azouz and D. Malouche},
  journal={2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)},
  year={2015},
  pages={1-6}
}
In this paper, we consider the problem of segmenting volumetric medical images. Our non-supervised approach uses a tetrahedral mesh representation of volumetric data. The segmentation is formulated as a non-linear optimization of an energy function defined over a graph. The main contribution of the proposed approach is the introduction of a novel geometric descriptor, called the Volume Radius Function (VRF). The new descriptor is a scalar function representing the position of a given point… Expand

References

SHOWING 1-10 OF 17 REFERENCES
Delaunay-Based Vector Segmentation of Volumetric Medical Images
  • 12
  • Highly Influential
  • PDF
A General Discrete Contour Model in Two, Three, and Four Dimensions for Topology-Adaptive Multichannel Segmentation
  • 53
Shape Segmentation and Matching with Flow Discretization
  • 160
  • PDF
A tightly coupled region-shape framework for 3D medical image segmentation
  • 23
  • PDF
An Adaptive Level Set Method for Medical Image Segmentation
  • 98
  • PDF
Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh
  • 120
  • PDF
3-D active appearance models: segmentation of cardiac MR and ultrasound images
  • 444
  • PDF
Progressive Simplification of Tetrahedral Meshes Preserving All Isosurface Topologies
  • 53
  • PDF
...
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